Generic, reusable ontology elements, such as a foundational ontology?s categories and part-whole relations, are essential for good and interoperable knowledge representation. Ontology developers face the challenge to figure out which category their class belongs to and which relationship to choose for their ontology authoring tasks. To reduce this bottleneck, there is a need to have guidance to handle these Ontology-laden entities. We solve this with the generic approach GENERATOR: Guided ENtity reuse and class Expression geneRATOR that enables easy reuse of already represented knowledge such that it guides the modeller toward the comparatively best options of possible axioms to add. This has been realised with DOLCE, part-whole relations, and an automated reasoner that is used during the authoring process to propose feasible axioms, and the software has been integrated in the MoKi ontology development tool.

Guided entity reuse and class expression generator

Khan, Muhammad Tahir;Ghidini, Chiara
2013-01-01

Abstract

Generic, reusable ontology elements, such as a foundational ontology?s categories and part-whole relations, are essential for good and interoperable knowledge representation. Ontology developers face the challenge to figure out which category their class belongs to and which relationship to choose for their ontology authoring tasks. To reduce this bottleneck, there is a need to have guidance to handle these Ontology-laden entities. We solve this with the generic approach GENERATOR: Guided ENtity reuse and class Expression geneRATOR that enables easy reuse of already represented knowledge such that it guides the modeller toward the comparatively best options of possible axioms to add. This has been realised with DOLCE, part-whole relations, and an automated reasoner that is used during the authoring process to propose feasible axioms, and the software has been integrated in the MoKi ontology development tool.
2013
9781450321020
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11582/313939
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